PhD Position in Explainable Audio Scene Description

Il y a 2 mois


Paris, Île-de-France INRIA Temps plein
Job Description

Inria D&S is seeking a PhD candidate to work on a research project focused on explainable audio scene description. The project aims to develop a system that can automatically describe audio scenes, providing a summary of the information present in the scene.

The PhD candidate will work under the supervision of Jean-François Bonastre and co-supervision of Raphaël Duroselle, within the audio processing research team of Inria D&S.

Key Responsibilities
  • Develop deep learning systems for audio scene description
  • Define a new task, corpus, and evaluation protocol
  • Work on the alignment between self-supervised representations of the speech signal and large language models
  • Train a weakly supervised system
  • Evaluate the system
Requirements
  • Master's degree in computer science, mathematics, or phonetics
  • Strong interest in applied research
  • Excellent written and spoken English
  • Signal processing and machine learning skills
  • Experience with deep learning toolkits such as PyTorch or Keras
  • Knowledge of open-source toolkits such as Kaldi or SpeechBrain
Benefits
  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available
  • Social, cultural, and sports events and activities
Salary
  • 1st and 2nd year: 2082 € gross/month
  • 3rd year: 2190 € gross/month


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